Rasheed, Adil

1. Digital Twin: Values, Challenges and Enablers
   2019/10/03 by Adil Rasheed, Rasheed, Adil, Omer San +3 · 9 citations
   Computer Science · Engineering · #Digital Transformation in Industry #Engineering Education and Technology #FOS: Electrical engineering #Signal Processing (eess.SP) #Technology Assessment and Management #electronic engineering #information engineering
2. Physics guided neural networks for modelling of non-linear dynamics
   2022/05/13 by Haakon Robinson, Robinson, Haakon, Suraj Pawar +5 · 5 citations
   Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
3. Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
   2018/12/05 by Maulik, Romit, San, Omer, Rasheed, Adil +1 · 2 citations
   #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
4. COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
   2020/06/16 by Eivind Meyer, Meyer, Eivind, Amalie Heiberg +5 · 2 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Maritime Navigation and Safety #Robotic Path Planning Algorithms #Robotics (cs.RO) #Underwater Vehicles and Communication Systems
5. Multi-fidelity information fusion with concatenated neural networks
   2021/10/08 by Pawar, Suraj, San, Omer, Vedula, Prakash +2 · 1 citation
   #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
6. Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
   2022/05/25 by Shady E. Ahmed, Ahmed, Shady E., Omer San +7 · 1 citation
   Engineering · Physics and Astronomy · #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Pattern Formation and Solitons (nlin.PS)
7. PoroTwin: A digital twin for a FluidFlower rig
   2022/12/01 by Keilegavlen, Eirik, Fonn, Eivind, Johannessen, Kjetil +6 · 1 citation
   #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
8. Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
   2022/06/07 by Sindre Stenen Blakseth, Adil Rasheed, Blakseth, Sindre Stenen +5 · 2 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Heat Transfer and Optimization #Nuclear reactor physics and engineering
9. Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels
   2024/03/27 by Menges, Daniel, Tengesdal, Trym, Rasheed, Adil · 1 citation
   #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
10. A novel corrective-source term approach to modeling unknown physics in aluminum extraction process
    2022/09/22 by Robinson, Haakon, Lundby, Erlend, Rasheed, Adil +1 · 1 citation
    #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG)
11. Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
    2024/06/04 by Florian Stadtmann, Adil Rasheed, Stadtmann, Florian +1 · 1 citation
    Engineering · #Oil and Gas Production Techniques #Offshore Engineering and Technologies #Reservoir Engineering and Simulation Methods
12. Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
    2024/11/08 by Daniel Menges, Florian Stadtmann, Menges, Daniel +5 · 1 citation
    Engineering · Materials Science · #Additive Manufacturing Materials and Processes #Computer Vision and Pattern Recognition (cs.CV) #Digital Transformation in Industry #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metal Alloys Wear and Properties
13. Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
    2021/03/26 by Omer San, San, Omer, Adil Rasheed +3 · 1 citation
    Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
14. Hybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital Twins
    2025/10/27 by Rasheed, Adil, Ravik, Oscar, San, Omer · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
15. Large Language Models for Control
    2025/11/01 by Adil Rasheed, Oscar Ravik, Rasheed, Adil +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Electrical engineering #Multimodal Machine Learning Applications #Systems and Control (eess.SY) #Topic Modeling #electronic engineering #information engineering